向量嵌入
向量检索与嵌入工作流
ley-ar
NeverSight
Search Argentine legal databases (SAIJ, JUBA, CSJN, JUSCABA) for jurisprudence, legislation, case summaries, and doctrine using the ley CLI. Use when the user asks about Argentine law, court decisions, legal precedents, fallos, jurisprudencia, legislación, or mentions SAIJ, JUBA, CSJN, JUSCABA. Supports parallel search across databases, JSON/table/text output, and filtering by jurisdiction. Built from reverse-engineered MCP servers (hernan-cc) — direct HTTP calls, no MCP layer needed.
xint
0xNyk
X Intelligence CLI — search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "search x", "find tweets about", "monitor x for", "track followers", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic, (4) user needs real-time monitoring ("watch"), (5) user wants AI-powered analysis ("analyze", "sentiment", "report"). Also supports: bookmarks, likes, following (read/write), trending topics, Grok AI analysis, and cost tracking. Export as JSON, JSONL (pipeable), CSV, or Markdown. Non-goals: Not for posting tweets, not for DMs, not for enterprise features. Requires OAuth for user-context operations (bookmarks, likes, following, diff).
logo-design-guide
inference-sh
"Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration workflows. Use for: brand identity, startup logos, app icons, favicons, logo concepts. Triggers: logo design, create logo, brand logo, logo generation, ai logo, logo maker, icon design, brand mark, logo concept, startup logo, app icon logo"
ai-rag-pipeline
inference-sh
"Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline"
block-inventory
adobe
Survey available blocks from local AEM Edge Delivery Services project and Block Collection to understand the block palette available for authoring. Returns block inventory with purposes to inform content modeling decisions.
skills-discovery
Kamalnrf
Search for and install Agent Skills that give you specialized capabilities. Before starting work, ask might a skill exist that handles this better than my base knowledge? If the task involves specific technologies, frameworks, file formats, or expert domains. Search proactively, even if the user doesn't mention skills. Skills encode best practices, tools, and techniques you wouldn't otherwise have. Also use when users explicitly ask to find, install, or manage skills.
icon-retrieval
antvis
Search and retrieve icon SVG strings from icon library. Returns up to 5 matching icons by default, customizable via topK parameter.
search-memory
nowledge-co
Search your personal knowledge base when past insights would improve response. Recognize when stored breakthroughs, decisions, or solutions are relevant. Search proactively based on context, not just explicit requests.
Search Memory
nowledge-co
Search memory store when past insights would improve response. Recognize when user's stored breakthroughs, decisions, or solutions are relevant. Search proactively based on context, not just explicit requests.
web-search
bear2u
DuckDuckGo를 사용한 웹 검색. 텍스트, 뉴스, 이미지 검색을 지원. 빌트인 WebSearch가 제한적이거나, 뉴스/이미지 검색, 지역/기간 필터가 필요할 때 사용. "검색해줘", "찾아줘", "search", "뉴스 검색", "이미지 검색" 등의 요청 시 활성화.
web-search
bear2u
DuckDuckGo를 사용한 웹 검색. 텍스트, 뉴스, 이미지 검색을 지원. 빌트인 WebSearch가 제한적이거나, 뉴스/이미지 검색, 지역/기간 필터가 필요할 때 사용. "검색해줘", "찾아줘", "search", "뉴스 검색", "이미지 검색" 등의 요청 시 활성화.
search-code
JamieMason
Search for code patterns in Syncpack. Use when finding symbols, implementations, or understanding how code is used. Covers ast-grep for Rust and grep/rg for other cases.
memory-fabric
yonatangross
"Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph queries."
rag-retrieval
yonatangross
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.
arxiv-search
aws-samples
Search and retrieve scientific papers from ArXiv
browser-automation
aws-samples
Web browser automation powered by Nova Act AI — navigate, interact, extract data, and manage tabs.
google-maps
aws-samples
Place search, directions, geocoding, and interactive maps
brave-search
badlogic
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
bio-similarity-searching
GPTomics
Performs molecular similarity searches using Tanimoto coefficient on fingerprints via RDKit. Finds structurally similar compounds using ECFP or MACCS keys and clusters molecules by structural similarity using Butina clustering. Use when finding analogs of a query compound or clustering chemical libraries.
bio-molecular-descriptors
GPTomics
Calculates molecular descriptors and fingerprints using RDKit. Computes Morgan fingerprints (ECFP), MACCS keys, Lipinski properties, QED drug-likeness, TPSA, and 3D conformer descriptors. Use when featurizing molecules for machine learning or filtering by drug-likeness criteria.
bio-virtual-screening
GPTomics
Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.
bio-substructure-search
GPTomics
Searches molecular libraries for substructure matches using SMARTS patterns with RDKit. Filters compounds by pharmacophore features, functional groups, or scaffold matches with atom mapping. Use when finding compounds containing specific chemical moieties or filtering libraries by structural features.
bio-causal-genomics-fine-mapping
GPTomics
Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
docs-search
adobe
Searches the aem.live documentation for information on AEM Edge Delivery Services features. Use this skill when you need more information about a feature, want guidance on how to implement a feature, and using existing tools you have to search the web isn't turning up relevant results.